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that aims to equip students with entrepreneurial thinking and skill sets that are key to boost breakthrough innovation in the exciting fields of AI and other emerging technologies. We train students
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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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mathematical integration, with the desired outcome being to increase the water and/or nitrogen use efficiency of Australian cropping systems. We propose to use a range of emerging data science approaches within
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PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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risk factor for a variety of mental health disorders, including depression, anxiety, eating disorders, substance use, and personality disorders. Around 10% of the general population have problematically
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model's performance across different patient groups, including varying ages and comorbidity profiles. (b)Gather feedback from clinicians to refine and improve the model's utility in clinical practice
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ongoing surveillance activities and minimise the global burden of acute respiratory infection. This PhD project will use data from FluTracking to evaluate ILI duration among different populations groups
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disciplines such as law, economics, anthropology, sociology, and business. You can create your own clean energy research project or collaborate with a supervisor or industry partner to co-design a proposal
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ecosystems is still low. The continued use of these technologies may also raise concerns about ethical issues in human-technology interaction. To better address the above issues, we are looking for a PhD
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PhD Scholarship – Gaining a Holistic Understanding of Eating Disorders: Phenotyping and Genotyping Illness Job No.: 677907 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed